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Tau's humanoid cleaning service

Tau's humanoid cleaning service

Tech X
Tau is launching an invite-only humanoid cleaning service in San Francisco for $30 per hour, using a human-in-the-loop control model.
What: The service uses humanoid robots managed by a combination of AI and remote human operators. The company, founded by Alexander Koch, uses imitation learning based on the ACT (Action Chunking with Transformers) architecture.
Decoder
  • ACT (Action Chunking with Transformers): A model architecture developed by Tony Zhao that allows robots to learn complex manipulation tasks by predicting a sequence of actions from a single input observation.
Original article

Today, we’re launching Tau’s humanoid cleaning service in San Francisco at $30 per hour.

Access is initially invite-only as we scale operations. If you don’t have an invite yet, join the waitlist at tau-robotics.com.

All footage is shown at 1× speed. Each humanoid is jointly controlled by a human operator and AI.


Early results from my AI training runs. I've trained my $200 robot arm on a simple picking task using imitation learning. It has learned to control the robot arm using only camera images and joint states.

The learning algorithm is based on ACT from @tonyzzhao. However, it is modified to use language instructions to learn multiple tasks with a single neural network. The video shows a policy that was trained on two instructions. One instruction to pick up the block and one to put it down. The entire training dataset contains about 400s of teleoperated trajectories.

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